Researchers developed photoirradiation-based super-resolution gene analysis technology

A Japanese research group developed a technology termed Photo-Isolation Chemistry (PIC) and successfully detected genes acting in very small cell populations and in intracellular microstructures by photoirradiation.

Humans and other multicellular organisms are known to be composed of at least 100 different types of cells, which are subdivided into smaller groups of cells with unique functions and characteristics depending on their spatial localizations. As these cells lose their intrinsic characters once they are isolated from an organ or tissue, analysis focusing exclusively on a specific type of cells has to be done without tissue destruction; however, conventional techniques did not have the capacity of meeting such a requirement.

A research group led by Professor Yasuyuki Ohkawa at the Medical Institute of Bioregulation, Kyushu University and Program-specific Associate Professor Shinya Oki at Graduate School of Medicine, Kyoto University developed a technology to isolate information on gene expression only from a photo-irradiated area, inspired by an ultrafine technology with photo-etching in a semiconductor manufacturing process. With this technology termed PIC, they photo-irradiated various areas in the brain and successfully detected the genes expressed in a specific domain of hippocampus. They also applied PIC to comprehensively detect the genes in very small cell populations of a mouse fetus, as well as those in intracellular microstructures smaller than one micron (1/1000 mm), which cannot be detected with conventional methods.

PIC is characterized as one of the technologies called “spatial transcriptomics”, where many researchers are competitively developing new technologies worldwide to link the gene expression with spatial information. Many of the spatial transcriptomics technologies require a large cost to use. In contrast, PIC requires only several dollars in addition to the cost for existing gene analysis techniques. In the future, PIC is expected to be used in pathological diagnosis involving clinical tissue specimens containing mixed normal and abnormal cells, such as diagnosis of cancer and inflammatory responses associated with COVID-19.

This research is conducted under the JST’s Strategic Basic Research Programs CREST (Team type) “Innovative Technology Platforms for Integrated Single Cell Analysis” and PRESTO (Individual researcher type) “Dynamics of Cellular Interactions in Multicellular System.”